title: Shunting inhibitory cellular neural networks with chaotic external inputs.
abstract: Taking advantage of external inputs, it is shown that shunting inhibitory cellular neural networks behave chaotically. The analysis is based on the Li-Yorke definition of chaos. Appropriate illustrations which support the theoretical results are depicted.
authors.affiliation: Department of Mathematics, Middle East Technical University, 06800 Ankara, Turkey. marat@metu.edu.tr
authors.forename: M U
authors.initials: MU
authors.lastname: Akhmet
authors.forename: M O
authors.initials: MO
authors.lastname: Fen
mesh_terms: D006801:Humans; D008959:Models, Neurological; D009415:Nerve Net / Q000502:physiology*; D009433:Neural Inhibition / Q000502:physiology*; D017711:Nonlinear Dynamics